Junwei Han

40.8k citations
502 papers · 29.5k · 22 hit papers · h-index 85

Impact in

    • Remote-Sensing Image Classification
    • Advanced Image Fusion Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Visual Attention and Saliency Detection
    • Video Surveillance and Tracking Methods

Papers in

    • Advanced Image and Video Retrieval Techniques 144
    • Advanced Neural Network Applications 94
    • Visual Attention and Saliency Detection 86
    • Image Retrieval and Classification Techniques 43
    • Functional Brain Connectivity Studies 84
    • Neural dynamics and brain function 61

Junwei Han

483 papers receiving 28.9k citations

Junwei Han's Hit Papers

VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning 2024 · 58 citations
580+3+6Years since publication4008001.2k

Peers

Junwei Han
Comparison fields: 5 of 196
  • Media Technology 9.2k
  • Computer Vision and Pattern Recognition 19.5k
  • Sensory Systems 1.0k
  • Artificial Intelligence 5.4k
  • Cognitive Neuroscience 2.8k
Replace Ming–Hsuan Yang with:
Ming–Hsuan Yang United States
Jiaya Jia Hong Kong
Alan Yuille United States
Xiaoou Tang Hong Kong
Jian Sun China
Ling Shao China
Jingdong Wang China
Sabine Süsstrunk Switzerland
Ming‐Ming Cheng China
Pascal Fua Switzerland
Junwei Han relative to Ming–Hsuan Yang United States Ming–Hsuan Yang's profile →
Citations per field
00.5×1.7×
Ming–Hsuan Yang · 1×
Citations per year

Countries citing papers authored by Junwei Han

Since Specialization
Citations

This map shows the geographic impact of Junwei Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junwei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Han more than expected).

Fields of papers citing papers by Junwei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junwei Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junwei Han. The network helps show where Junwei Han may publish in the future.

Co-authors

The 25 scholars most cited alongside Junwei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junwei Han Line = papers co-authored together Junwei Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 502 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Object detection in optical remote sensing images: A survey and a new benchmark
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20191497
2
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
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20161430
3
A survey on object detection in optical remote sensing images
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20161087
4
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
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20181047
5
Multi-class geospatial object detection and geographic image classification based on collection of part detectors
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2014747
6
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
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2020722
7
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
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2018649
8
DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection
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2016608
9
Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
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2014593
10
Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey
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2018486
11
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework
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2016434
12
Towards Large-Scale Small Object Detection: Survey and Benchmarks
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2023373
13
Background Prior-Based Salient Object Detection via Deep Reconstruction Residual
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2014372
14
Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
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2018348
15
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion
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2017341
16
Anchor-Free Oriented Proposal Generator for Object Detection
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2022320
17 2005317
18
Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning
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2016295
19 2016280
20 2015265

About Junwei Han

Junwei Han is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 502 papers that have together received 29.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (144 papers), Advanced Neural Network Applications (94 papers), Visual Attention and Saliency Detection (86 papers), Functional Brain Connectivity Studies (84 papers), Remote-Sensing Image Classification (62 papers), Neural dynamics and brain function (61 papers), Domain Adaptation and Few-Shot Learning (45 papers) and Image Retrieval and Classification Techniques (43 papers). The work is most often cited by research in Media Technology (9.2k citations), Computer Vision and Pattern Recognition (19.5k citations), Sensory Systems (1.0k citations), Artificial Intelligence (5.4k citations) and Cognitive Neuroscience (2.8k citations). Junwei Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gong Cheng, Lei Guo, Dingwen Zhang, Nian Liu, Peicheng Zhou, Xiwen Yao, Ke Li, Xingxing Xie, Feiping Nie and Ming–Hsuan Yang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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